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Coronavirus in Chile

Official data: Casos confirmados de COVID-19 a nivel nacional

Affected Population

0.025 %

This is the part of confirmed infection cases against the total 19 million of its population.

Affected 1 of every 3,936
Failed to recover 1 of every 512,216

Recovery Pie

The whole pie reflects the total number of confirmed cases of people infected by coronavirus in Chile.

Raw Numbers on April 6th, 2020

4,815confirmed+344

728recovered+110

37failed+3

4,050active+231

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Chile and confirmed to be infected. It includes three parts: those who could or could not recover and those who are currently in the active phase of the disease.

New Confirmed Cases

This graph shows the number of new cases by day. The lightblue bars are the number of the new total confirmed cases appeared that day.

Daily Speed

This graph shows the speed of growth (in %) over time in Chile. The main three parameters are the number of confirmed cases, the number of recoveries and failures. The orange line is the speed of changing of the number of active cases (i.e., of those, who are still ill).

Note. When the speed is positive, the number of cases grows every day. The line going down means that the speed decreases, and while there may be more cases the next day, the disease spread is slowing down. If the speed goes below zero, that means that fewer cases registered today than yesterday.

Mortality Level

The gray bars on this graph display the absolute number of deaths that happen in Chile every month during the recent five years of available data. The red bars are the absolute numbers of people died due to the COVID-19 infection.

Note that the vertical axis is drawn in logarithmic scale by default.

Weekly Levels

This graph draws the number of deaths in Chile connected to the COVID-19 infection aggregated by weeks of 2020.

Crude rates

Crude mortality rate is the number of people died in a country within a year per each 1000 of population.

Here, the crude rate for Chile is shown for the last 50 years. The red bar against 2020 is the number of people died due to COVID-19 per each 1000 people. Thus, you can directly compare the two parameters.

Note that the vertical axis is drawn in logarithmic scale by default.

Raw Daily Numbers

Download as CSV | XLS

Date Confirmed
cases
Daily
growth, %
Recovered
cases
Died
cases
Active
cases
Recovery
rate, %
Mortality
rate, %
Affected
population, %
Confirmed
per million
Died
per million
Apr 6th 4,815 7.7 % 728 37 4,050 15.1 % 0.8 % 0.025 % 254.06 1.95
Apr 5th 4,471 7.5 % 618 34 3,819 13.8 % 0.8 % 0.024 % 235.91 1.79
Apr 4th 4,161 11.3 % 528 27 3,606 12.7 % 0.6 % 0.022 % 219.55 1.42
Apr 3rd 3,737 9.8 % 427 22 3,288 11.4 % 0.6 % 0.02 % 197.18 1.16
Apr 2nd 3,404 12.3 % 335 18 3,051 9.8 % 0.5 % 0.018 % 179.61 0.95
Apr 1st 3,031 10.7 % 234 16 2,781 7.7 % 0.5 % 0.016 % 159.93 0.84
Mar 31st 2,738 11.8 % 156 12 2,570 5.7 % 0.4 % 0.014 % 144.47 0.63
Mar 30th 2,449 14.5 % 156 8 2,285 6.4 % 0.3 % 0.013 % 129.22 0.42
Mar 29th 2,139 12.0 % 75 7 2,057 3.5 % 0.3 % 0.011 % 112.86 0.37
Mar 28th 1,909 18.6 % 61 6 1,842 3.2 % 0.3 % 0.01 % 100.73 0.32
Mar 27th 1,610 23.3 % 43 5 1,562 2.7 % 0.3 % 0.0085 % 84.95 0.26
Mar 26th 1,306 14.4 % 22 4 1,280 1.7 % 0.3 % 0.0069 % 68.91 0.21
Mar 25th 1,142 23.9 % 22 3 1,117 1.9 % 0.3 % 0.006 % 60.26 0.16
Mar 24th 922 23.6 % 17 2 903 1.8 % 0.2 % 0.0049 % 48.65 0.11
Mar 23rd 746 18.0 % 11 2 733 1.5 % 0.3 % 0.0039 % 39.36 0.11
Mar 22nd 632 17.7 % 8 1 623 1.3 % 0.2 % 0.0033 % 33.35 0.05
Mar 21st 537 23.7 % 6 0 531 1.1 % 0.0 % 0.0028 % 28.33 0.00
Mar 20th 434 82.4 % 6 0 428 1.4 % 0.0 % 0.0023 % 22.90 0.00
Mar 19th 238 0.0 % 0 0 238 0.0 % 0.0 % 0.0013 % 12.56 0.00
Mar 18th 238 18.4 % 0 0 238 0.0 % 0.0 % 0.0013 % 12.56 0.00
Mar 17th 201 29.7 % 0 0 201 0.0 % 0.0 % 0.0011 % 10.61 0.00
Mar 16th 155 109.5 % 0 0 155 0.0 % 0.0 % < 0.001 % 8.18 0.00
Mar 15th 74 21.3 % 0 0 74 0.0 % 0.0 % < 0.001 % 3.90 0.00
Mar 14th 61 41.9 % 0 0 61 0.0 % 0.0 % < 0.001 % 3.22 0.00
Mar 13th 43 87.0 % 0 0 43 0.0 % 0.0 % < 0.001 % 2.27 0.00
Mar 12th 23 0.0 % 0 0 23 0.0 % 0.0 % < 0.001 % 1.21 0.00
Mar 11th 23 76.9 % 0 0 23 0.0 % 0.0 % < 0.001 % 1.21 0.00
Mar 10th 13 62.5 % 0 0 13 0.0 % 0.0 % < 0.001 % 0.69 0.00
Mar 9th 8 0.0 % 0 0 8 0.0 % 0.0 % < 0.001 % 0.42 0.00
Mar 8th 8 100.0 % 0 0 8 0.0 % 0.0 % < 0.001 % 0.42 0.00
Mar 7th 4 0.0 % 0 0 4 0.0 % 0.0 % < 0.001 % 0.21 0.00
Mar 6th 4 0.0 % 0 0 4 0.0 % 0.0 % < 0.001 % 0.21 0.00
Mar 5th 4 300.0 % 0 0 4 0.0 % 0.0 % < 0.001 % 0.21 0.00
Mar 4th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.05 0.00
Mar 3rd 1 0 0 1 0.0 % 0.0 % < 0.001 % 0.05 0.00

Statistics per Continent

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Asia

Europe

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Statistics per Country

The whole world

World excluding China

More statistics on countries

Countries vs China

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Bonaire, St. Eustatius & Saba

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Brazil

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Canada

Cayman Islands

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Chad

Chile

China

China, Hong Kong SAR

China, Macao SAR

Colombia

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Croatia

Cuba

Curaçao

Cyprus

Czechia

Dem. Rep. of the Congo

Denmark

Djibouti

Dominica

Dominican Republic

Ecuador

Egypt

El Salvador

Equatorial Guinea

Eritrea

Estonia

Eswatini

Ethiopia

Falkland Islands

Faroe Islands

Fiji

Finland

France

French Guiana

French Polynesia

Gabon

Gambia

Georgia

Germany

Ghana

Gibraltar

Greece

Greenland

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Iceland

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Isle of Man

Israel

Italy

Jamaica

Japan

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Lao People's Dem. Rep.

Latvia

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Liberia

Libya

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Madagascar

Malawi

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Mali

Malta

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Mauritius

Mayotte

Mexico

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Monaco

Mongolia

Montenegro

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Morocco

Mozambique

Myanmar

Namibia

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Netherlands

New Caledonia

New Zealand

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Niger

Nigeria

North Macedonia

Norway

Oman

Pakistan

Panama

Papua New Guinea

Paraguay

Peru

Philippines

Poland

Portugal

Puerto Rico

Qatar

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Romania

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Rwanda

Saint Barthélemy

Saint Kitts and Nevis

Saint Lucia

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San Marino

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Saudi Arabia

Senegal

Serbia

Seychelles

Sierra Leone

Singapore

Sint Maarten

Slovakia

Slovenia

Somalia

South Africa

South Korea

South Sudan

Spain

Sri Lanka

State of Palestine

Sudan

Suriname

Sweden

Switzerland

Syrian Arab Republic

Taiwan

Tanzania

Thailand

Timor-Leste

Togo

Trinidad and Tobago

Tunisia

Turkey

Turks and Caicos Islands

Uganda

Ukraine

United Arab Emirates

United Kingdom

United States of America

Uruguay

Uzbekistan

Venezuela

Viet Nam

Western Sahara

Zambia

Zimbabwe

The green and red arrows display the change of the number of new confirmed cases for the last two days.

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Based on data collected by the Johns Hopkins University Center for Systems Science and Engineering.

This website presents the very same data as the JHU’s original dashboard but from a less-panic perspective. Updated daily around 8 a.m. European time.

Read the Technology blog. Look at the source code: GitHub. Powered by Raku.

Created by Andrew Shitov. Twitter: @andrewshitov. Contact by e-mail.